Coefficients of characteristic polynomial

In summary: It turns out there is a way to calculate the coefficients a_n, ..., a_1, a_0 for any given matrix A using the Leverrier-Faddeev algorithm. This algorithm involves calculating the characteristic polynomial of A and then using recursion to calculate each coefficient. The formula for a_n, a_{n-1}, a_0 is relatively simple, but for a_{n-2}, ..., a_1 it gets more complex. So, if you need to calculate these coefficients for a given matrix, the Leverrier-Faddeev algorithm is a useful tool to use.
  • #1
jostpuur
2,116
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I want to write an algorithm that gives as output the numbers [itex]a_n,\ldots, a_1,a_0[/itex], when a matrix [itex]A\in\mathbb{R}^{n\times n}[/itex] is given as input, such that

[tex]
\det (A - \lambda) = a_n\lambda^n + \cdots + a_1\lambda + a_0,\quad\quad\forall\lambda\in\mathbb{C}
[/tex]

If [itex]n=2[/itex],

[tex]
a_2 = 1,\quad a_1 = -\textrm{tr}(A),\quad a_0 = \textrm{det}(A).
[/tex]

If [itex]n=3[/itex],

[tex]
a_3 = -1,\quad a_2 = \textrm{tr}(A),\quad a_0 = \textrm{det}(A)
[/tex]
and
[tex]
a_1 = -A_{11}A_{22} - A_{22}A_{33} - A_{33}A_{11} + A_{12}A_{21} + A_{23}A_{32} + A_{31}A_{13}
[/tex]

So the coefficients [itex]a_n,a_{n-1},a_0[/itex] are easy, but [itex]a_{n-2},\ldots, a_1[/itex] get difficult. Is there any recursion formula for them?
 
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1. What are coefficients of characteristic polynomial?

Coefficients of characteristic polynomial are the constants that appear in the polynomial equation used to find the eigenvalues of a square matrix. They represent the relationship between the matrix elements and the eigenvalues.

2. How are coefficients of characteristic polynomial calculated?

The coefficients of characteristic polynomial can be calculated using the properties of determinants. The first coefficient is always 1, and the remaining coefficients can be found by expanding the determinant of the matrix using the cofactor method.

3. Why are coefficients of characteristic polynomial important?

Coefficients of characteristic polynomial are important because they allow us to find the eigenvalues of a matrix, which are useful in many areas of mathematics and science. They also provide insight into the properties and behavior of the matrix.

4. What is the relationship between coefficients of characteristic polynomial and eigenvalues?

The coefficients of characteristic polynomial are directly related to the eigenvalues of a matrix. The roots of the polynomial equation are the eigenvalues of the matrix, and the coefficients provide information about the multiplicity and algebraic properties of the eigenvalues.

5. Can the coefficients of characteristic polynomial be negative?

Yes, the coefficients of characteristic polynomial can be negative. This is because they are determined by the elements of the matrix, which can be positive, negative, or zero. The sign of the coefficients can also provide information about the matrix, such as its symmetry or skew-symmetry.

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